Four short links: 15 February 2016

Deep Learning Analogies, IoT Privacy, Robot Numbers, and App Economy

Deep Visual Analogy-Making (PDF) — In this paper, we develop a novel deep network trained end-to-end to perform visual analogy making, which is the task of transforming a query image according to an example pair of related images. Open source code from the paper also available.

Samsung’s TV and Privacy Gets More Awkward — Samsung has now issued a new statement clarifying how the voice activation feature works. “If a consumer consents and uses the voice recognition feature, voice data is provided to a third party during a requested voice command search,” Samsung said in a statement. “At that time, the voice data is sent to a server, which searches for the requested content then returns the desired content to the TV.” It only seems creepy until you give in and nothing bad happens, then you normalise the creepy.

2015 Robot Numbers (RoboHub) — The Robotic Industries Association (RIA), representing North American robotics, reported […] 2015 set new records and showed a 14% increase in units and 11% in dollars over 2014. The automotive industry was the primary growth sector, with robot orders increasing 19% year over year. Non-automotive robot orders grew at 5%.

Mozilla, Caribou Digital Release Report Exploring the Global App Economy (Mark Surman) — The emerging markets are the 1% — meaning, they earn 1% of total app economy revenue. 95% of the estimated value in the app economy is captured by just 10 countries, and 69% of the value is captured by just the top three countries. Excluding China, the 19 countries considered low- or lower-income accounted for only 1% of total worldwide value. Developers in low-income countries struggle to export to the global stage. About one-third of developers in the sample appeared only in their domestic market.